• DocumentCode
    3602660
  • Title

    Semi-Implicit Steepest Descent Method for Energy Minimization and Its Application to Micromagnetic Simulation of Permanent Magnets

  • Author

    Furuya, Atsushi ; Fujisaki, Jun ; Shimizu, Koichi ; Uehara, Yuji ; Ataka, Tadashi ; Tanaka, Tomohiro ; Oshima, Hirotaka

  • Author_Institution
    Fujitsu Ltd., Kawasaki, Japan
  • Volume
    51
  • Issue
    11
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    We report an acceleration method for evaluating the coercivity and the M-H curve of a magnetic material based on micromagnetic simulation. To avoid stability constraint of explicit schemes, we examine a semi-implicit integration for the steepest descent method to find the local minimum state. The present method is applied to simulate a magnetization reversal process in the simplified microstructure of permanent magnets, and a major improvement of calculation speed is achieved to simulate the M-H curve of permanent magnets correctly.
  • Keywords
    coercive force; crystal microstructure; gradient methods; magnetisation reversal; micromagnetics; permanent magnets; M-H curve; acceleration method; calculation speed; coercivity; energy minimization; explicit schemes; local minimum state; magnetization reversal process; micromagnetic simulation; permanent magnets; semi-implicit integration; semi-implicit steepest descent method; simplified microstructure; stability constraint; Coercive force; Computational modeling; Magnetization; Mathematical model; Micromagnetics; Microstructure; Permanent magnets; $M$ ??? $H$ curve; Coercivity; M-H curve; coercivity; energy minimization; micromagnetics; parallel computing; permanent magnets; semi-implicit integration; simulation;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/TMAG.2015.2439290
  • Filename
    7115127